SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 44014410 of 7282 papers

TitleStatusHype
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens0
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model0
The G-invariant graph Laplacian0
Improving J-divergence of brain connectivity states by graph Laplacian denoising0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising0
A Directed Graph Fourier Transform with Spread Frequency Components0
Improving Neural Machine Translation by Denoising Training0
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network0
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction0
Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising0
Show:102550
← PrevPage 441 of 729Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified